Overview

Dataset statistics

Number of variables145
Number of observations5012
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 MiB
Average record size in memory1.1 KiB

Variable types

BOOL134
NUM11

Warnings

number has 4524 (90.3%) zeros Zeros

Reproduction

Analysis started2020-11-30 21:52:32.018474
Analysis finished2020-11-30 21:54:21.972565
Duration1 minute and 49.95 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4948 
1
 
64
ValueCountFrequency (%) 
0494898.7%
 
1641.3%
 
2020-11-30T18:54:22.027531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

ulcer_True
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4795 
1
 
217
ValueCountFrequency (%) 
0479595.7%
 
12174.3%
 
2020-11-30T18:54:22.146462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4951 
1
 
61
ValueCountFrequency (%) 
0495198.8%
 
1611.2%
 
2020-11-30T18:54:22.230321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

clearance
Real number (ℝ≥0)

Distinct4638
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.59136286
Minimum5.857555
Maximum262.728
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:22.362265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5.857555
5-th percentile30.2663443
Q154.83517925
median74.468885
Q396.817265
95-th percentile135.333345
Maximum262.728
Range256.870445
Interquartile range (IQR)41.98208575

Descriptive statistics

Standard deviation32.45095478
Coefficient of variation (CV)0.4182289573
Kurtosis1.068477933
Mean77.59136286
Median Absolute Deviation (MAD)20.817426
Skewness0.689822015
Sum388887.9107
Variance1053.064466
MonotocityNot monotonic
2020-11-30T18:54:22.590135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
77.18585230.5%
 
108.2480.2%
 
98.480.2%
 
88.5670.1%
 
92.2560.1%
 
94.7160.1%
 
110.760.1%
 
64.57550.1%
 
95.9440.1%
 
60.66666840.1%
 
Other values (4628)493598.5%
 
ValueCountFrequency (%) 
5.8575551< 0.1%
 
5.8585311< 0.1%
 
5.93945931< 0.1%
 
6.0603141< 0.1%
 
6.8167272< 0.1%
 
ValueCountFrequency (%) 
262.7281< 0.1%
 
248.461< 0.1%
 
247.822221< 0.1%
 
239.088581< 0.1%
 
228.81< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4430 
1
582 
ValueCountFrequency (%) 
0443088.4%
 
158211.6%
 
2020-11-30T18:54:22.730034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5005 
1
 
7
ValueCountFrequency (%) 
0500599.9%
 
170.1%
 
2020-11-30T18:54:22.790000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4784 
0
 
228
ValueCountFrequency (%) 
1478495.5%
 
02284.5%
 
2020-11-30T18:54:22.843990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4989 
1
 
23
ValueCountFrequency (%) 
0498999.5%
 
1230.5%
 
2020-11-30T18:54:22.899957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4536 
1
476 
ValueCountFrequency (%) 
0453690.5%
 
14769.5%
 
2020-11-30T18:54:22.956904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4980 
1
 
32
ValueCountFrequency (%) 
0498099.4%
 
1320.6%
 
2020-11-30T18:54:23.011875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4773 
1
 
239
ValueCountFrequency (%) 
0477395.2%
 
12394.8%
 
2020-11-30T18:54:23.069842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4903 
1
 
109
ValueCountFrequency (%) 
0490397.8%
 
11092.2%
 
2020-11-30T18:54:23.392676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4958 
1
 
54
ValueCountFrequency (%) 
0495898.9%
 
1541.1%
 
2020-11-30T18:54:23.447623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

aortic_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3110 
0
1902 
ValueCountFrequency (%) 
1311062.1%
 
0190237.9%
 
2020-11-30T18:54:23.504594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
2523 
1
2489 
ValueCountFrequency (%) 
0252350.3%
 
1248949.7%
 
2020-11-30T18:54:23.560578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

bmi
Real number (ℝ≥0)

Distinct1716
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.55318672
Minimum11.9795475
Maximum50.21914
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:23.690504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11.9795475
5-th percentile19.723183
Q123.510204
median26.06168
Q329.068796
95-th percentile34.9788305
Maximum50.21914
Range38.2395925
Interquartile range (IQR)5.558592

Descriptive statistics

Standard deviation4.650184527
Coefficient of variation (CV)0.1751271731
Kurtosis1.328637468
Mean26.55318672
Median Absolute Deviation (MAD)2.7404985
Skewness0.7416392956
Sum133084.5718
Variance21.62421613
MonotocityNot monotonic
2020-11-30T18:54:23.953334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24.221453380.8%
 
25.951557330.7%
 
27.681662320.6%
 
24.489796270.5%
 
24.691359260.5%
 
25.711662250.5%
 
27.54821220.4%
 
23.4375220.4%
 
31.25210.4%
 
26.12245200.4%
 
Other values (1706)474694.7%
 
ValueCountFrequency (%) 
11.97954751< 0.1%
 
14.4296061< 0.1%
 
14.6050551< 0.1%
 
15.0597011< 0.1%
 
15.3697081< 0.1%
 
ValueCountFrequency (%) 
50.219141< 0.1%
 
49.6031761< 0.1%
 
48.487841< 0.1%
 
48.456791< 0.1%
 
47.8395081< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4831 
1
 
181
ValueCountFrequency (%) 
0483196.4%
 
11813.6%
 
2020-11-30T18:54:24.114243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4999 
1
 
13
ValueCountFrequency (%) 
0499999.7%
 
1130.3%
 
2020-11-30T18:54:24.172210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4607 
1
 
405
ValueCountFrequency (%) 
0460791.9%
 
14058.1%
 
2020-11-30T18:54:24.228195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4881 
1
 
131
ValueCountFrequency (%) 
0488197.4%
 
11312.6%
 
2020-11-30T18:54:24.284171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4828 
1
 
184
ValueCountFrequency (%) 
0482896.3%
 
11843.7%
 
2020-11-30T18:54:24.339111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4962 
1
 
50
ValueCountFrequency (%) 
0496299.0%
 
1501.0%
 
2020-11-30T18:54:24.397078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

mi_False
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3971 
0
1041 
ValueCountFrequency (%) 
1397179.2%
 
0104120.8%
 
2020-11-30T18:54:24.455066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4591 
0
 
421
ValueCountFrequency (%) 
1459191.6%
 
04218.4%
 
2020-11-30T18:54:24.511015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3045 
1
1967 
ValueCountFrequency (%) 
0304560.8%
 
1196739.2%
 
2020-11-30T18:54:24.568980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4963 
0
 
49
ValueCountFrequency (%) 
1496399.0%
 
0491.0%
 
2020-11-30T18:54:24.623969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5008 
1
 
4
ValueCountFrequency (%) 
0500899.9%
 
140.1%
 
2020-11-30T18:54:24.679936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

copd_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4559 
0
 
453
ValueCountFrequency (%) 
1455991.0%
 
04539.0%
 
2020-11-30T18:54:24.739884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4761 
1
 
251
ValueCountFrequency (%) 
0476195.0%
 
12515.0%
 
2020-11-30T18:54:24.793851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

papsyst
Real number (ℝ≥0)

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.22314519
Minimum15
Maximum125
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:24.945764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile26
Q140
median42.265953
Q342.265953
95-th percentile60
Maximum125
Range110
Interquartile range (IQR)2.265953

Descriptive statistics

Standard deviation9.980038584
Coefficient of variation (CV)0.236364168
Kurtosis6.726592348
Mean42.22314519
Median Absolute Deviation (MAD)0
Skewness1.59991196
Sum211622.4037
Variance99.60117013
MonotocityNot monotonic
2020-11-30T18:54:25.149653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42.265953251750.2%
 
302545.1%
 
402374.7%
 
352334.6%
 
501933.9%
 
451883.8%
 
251613.2%
 
551032.1%
 
601022.0%
 
38631.3%
 
Other values (65)96119.2%
 
ValueCountFrequency (%) 
152< 0.1%
 
162< 0.1%
 
172< 0.1%
 
1830.1%
 
1940.1%
 
ValueCountFrequency (%) 
1251< 0.1%
 
1201< 0.1%
 
1131< 0.1%
 
1101< 0.1%
 
1002< 0.1%
 

lvefisotopic
Real number (ℝ≥0)

Distinct72
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.20807054
Minimum14
Maximum91
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:25.354532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile55.26565
Q155.26565
median55.26565
Q355.26565
95-th percentile55.26565
Maximum91
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.42614124
Coefficient of variation (CV)0.08017199653
Kurtosis29.80026139
Mean55.20807054
Median Absolute Deviation (MAD)0
Skewness-1.805031608
Sum276702.8496
Variance19.59072627
MonotocityNot monotonic
2020-11-30T18:54:25.571406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
55.26565460791.9%
 
60240.5%
 
55220.4%
 
65170.3%
 
70150.3%
 
50150.3%
 
40140.3%
 
45130.3%
 
62120.2%
 
53110.2%
 
Other values (62)2625.2%
 
ValueCountFrequency (%) 
141< 0.1%
 
151< 0.1%
 
181< 0.1%
 
191< 0.1%
 
202< 0.1%
 
ValueCountFrequency (%) 
911< 0.1%
 
871< 0.1%
 
852< 0.1%
 
841< 0.1%
 
831< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4238 
0
774 
ValueCountFrequency (%) 
1423884.6%
 
077415.4%
 
2020-11-30T18:54:25.740308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4310 
1
702 
ValueCountFrequency (%) 
0431086.0%
 
170214.0%
 
2020-11-30T18:54:25.806272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4990 
1
 
22
ValueCountFrequency (%) 
0499099.6%
 
1220.4%
 
2020-11-30T18:54:25.874233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4794 
1
 
218
ValueCountFrequency (%) 
0479495.7%
 
12184.3%
 
2020-11-30T18:54:25.948190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

height
Real number (ℝ≥0)

Distinct66
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.3246825
Minimum135
Maximum205
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:26.087110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum135
5-th percentile152
Q1162
median169
Q3175
95-th percentile183
Maximum205
Range70
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.488581661
Coefficient of variation (CV)0.05637070881
Kurtosis0.02508626913
Mean168.3246825
Median Absolute Deviation (MAD)6
Skewness-0.01712979971
Sum843643.3085
Variance90.03318194
MonotocityNot monotonic
2020-11-30T18:54:26.292992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1704398.8%
 
1603146.3%
 
1653036.0%
 
1752695.4%
 
1802374.7%
 
1722214.4%
 
1681893.8%
 
1731833.7%
 
1781723.4%
 
1691693.4%
 
Other values (56)251650.2%
 
ValueCountFrequency (%) 
1351< 0.1%
 
14090.2%
 
14140.1%
 
14240.1%
 
1432< 0.1%
 
ValueCountFrequency (%) 
20530.1%
 
2041< 0.1%
 
2021< 0.1%
 
2002< 0.1%
 
1991< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4975 
1
 
37
ValueCountFrequency (%) 
0497599.3%
 
1370.7%
 
2020-11-30T18:54:26.433914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5007 
1
 
5
ValueCountFrequency (%) 
0500799.9%
 
150.1%
 
2020-11-30T18:54:26.489899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4653 
1
 
359
ValueCountFrequency (%) 
0465392.8%
 
13597.2%
 
2020-11-30T18:54:26.544867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4999 
1
 
13
ValueCountFrequency (%) 
0499999.7%
 
1130.3%
 
2020-11-30T18:54:26.603813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

mitral_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3816 
0
1196 
ValueCountFrequency (%) 
1381676.1%
 
0119623.9%
 
2020-11-30T18:54:26.658782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4225 
1
787 
ValueCountFrequency (%) 
0422584.3%
 
178715.7%
 
2020-11-30T18:54:26.726742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

smoker_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
2582 
1
2430 
ValueCountFrequency (%) 
0258251.5%
 
1243048.5%
 
2020-11-30T18:54:26.784709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

others_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4893 
0
 
119
ValueCountFrequency (%) 
1489397.6%
 
01192.4%
 
2020-11-30T18:54:26.839698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4992 
1
 
20
ValueCountFrequency (%) 
0499299.6%
 
1200.4%
 
2020-11-30T18:54:26.894667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4743 
1
 
269
ValueCountFrequency (%) 
0474394.6%
 
12695.4%
 
2020-11-30T18:54:26.953633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4664 
1
 
348
ValueCountFrequency (%) 
0466493.1%
 
13486.9%
 
2020-11-30T18:54:27.019595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4652 
1
 
360
ValueCountFrequency (%) 
0465292.8%
 
13607.2%
 
2020-11-30T18:54:27.073565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4460 
1
552 
ValueCountFrequency (%) 
0446089.0%
 
155211.0%
 
2020-11-30T18:54:27.130512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4585 
1
 
427
ValueCountFrequency (%) 
0458591.5%
 
14278.5%
 
2020-11-30T18:54:27.190497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4915 
1
 
97
ValueCountFrequency (%) 
0491598.1%
 
1971.9%
 
2020-11-30T18:54:27.249446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4945 
0
 
67
ValueCountFrequency (%) 
1494598.7%
 
0671.3%
 
2020-11-30T18:54:27.303412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4856 
0
 
156
ValueCountFrequency (%) 
1485696.9%
 
01563.1%
 
2020-11-30T18:54:27.358401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

surg_2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4760 
1
 
252
ValueCountFrequency (%) 
0476095.0%
 
12525.0%
 
2020-11-30T18:54:27.418367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4719 
1
 
293
ValueCountFrequency (%) 
0471994.2%
 
12935.8%
 
2020-11-30T18:54:27.471338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
2807 
1
2205 
ValueCountFrequency (%) 
0280756.0%
 
1220544.0%
 
2020-11-30T18:54:27.527304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4956 
1
 
56
ValueCountFrequency (%) 
0495698.9%
 
1561.1%
 
2020-11-30T18:54:27.584252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5002 
1
 
10
ValueCountFrequency (%) 
0500299.8%
 
1100.2%
 
2020-11-30T18:54:27.648215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4862 
1
 
150
ValueCountFrequency (%) 
0486297.0%
 
11503.0%
 
2020-11-30T18:54:27.703184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5010 
1
 
2
ValueCountFrequency (%) 
05010> 99.9%
 
12< 0.1%
 
2020-11-30T18:54:27.762150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
2584 
0
2428 
ValueCountFrequency (%) 
1258451.6%
 
0242848.4%
 
2020-11-30T18:54:27.817120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3751 
0
1261 
ValueCountFrequency (%) 
1375174.8%
 
0126125.2%
 
2020-11-30T18:54:27.875104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4911 
1
 
101
ValueCountFrequency (%) 
0491198.0%
 
11012.0%
 
2020-11-30T18:54:27.935051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-11-30T18:54:27.989020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4819 
1
 
193
ValueCountFrequency (%) 
0481996.1%
 
11933.9%
 
2020-11-30T18:54:28.042990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4975 
1
 
37
ValueCountFrequency (%) 
0497599.3%
 
1370.7%
 
2020-11-30T18:54:28.098976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_a_no
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4619 
0
 
393
ValueCountFrequency (%) 
1461992.2%
 
03937.8%
 
2020-11-30T18:54:28.153945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4421 
0
591 
ValueCountFrequency (%) 
1442188.2%
 
059111.8%
 
2020-11-30T18:54:28.206915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3420 
1
1592 
ValueCountFrequency (%) 
0342068.2%
 
1159231.8%
 
2020-11-30T18:54:28.262862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4503 
1
509 
ValueCountFrequency (%) 
0450389.8%
 
150910.2%
 
2020-11-30T18:54:28.319830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5011 
1
 
1
ValueCountFrequency (%) 
05011> 99.9%
 
11< 0.1%
 
2020-11-30T18:54:28.377817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4226 
0
786 
ValueCountFrequency (%) 
1422684.3%
 
078615.7%
 
2020-11-30T18:54:28.433764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4969 
1
 
43
ValueCountFrequency (%) 
0496999.1%
 
1430.9%
 
2020-11-30T18:54:28.487733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4998 
1
 
14
ValueCountFrequency (%) 
0499899.7%
 
1140.3%
 
2020-11-30T18:54:28.541702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4778 
1
 
234
ValueCountFrequency (%) 
0477895.3%
 
12344.7%
 
2020-11-30T18:54:28.599670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4115 
1
897 
ValueCountFrequency (%) 
0411582.1%
 
189717.9%
 
2020-11-30T18:54:28.658637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4872 
1
 
140
ValueCountFrequency (%) 
0487297.2%
 
11402.8%
 
2020-11-30T18:54:28.724597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4981 
1
 
31
ValueCountFrequency (%) 
0498199.4%
 
1310.6%
 
2020-11-30T18:54:29.116396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4889 
1
 
123
ValueCountFrequency (%) 
0488997.5%
 
11232.5%
 
2020-11-30T18:54:29.172343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3394 
0
1618 
ValueCountFrequency (%) 
1339467.7%
 
0161832.3%
 
2020-11-30T18:54:29.231307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3930 
1
1082 
ValueCountFrequency (%) 
0393078.4%
 
1108221.6%
 
2020-11-30T18:54:29.286275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4863 
1
 
149
ValueCountFrequency (%) 
0486397.0%
 
11493.0%
 
2020-11-30T18:54:29.342243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4617 
0
 
395
ValueCountFrequency (%) 
1461792.1%
 
03957.9%
 
2020-11-30T18:54:29.400232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5010 
1
 
2
ValueCountFrequency (%) 
05010> 99.9%
 
12< 0.1%
 
2020-11-30T18:54:29.457197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4973 
1
 
39
ValueCountFrequency (%) 
0497399.2%
 
1390.8%
 
2020-11-30T18:54:29.515166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4993 
1
 
19
ValueCountFrequency (%) 
0499399.6%
 
1190.4%
 
2020-11-30T18:54:29.569115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3937 
1
1075 
ValueCountFrequency (%) 
0393778.6%
 
1107521.4%
 
2020-11-30T18:54:29.629080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3528 
1
1484 
ValueCountFrequency (%) 
0352870.4%
 
1148429.6%
 
2020-11-30T18:54:29.684047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4752 
1
 
260
ValueCountFrequency (%) 
0475294.8%
 
12605.2%
 
2020-11-30T18:54:29.745013image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4480 
1
532 
ValueCountFrequency (%) 
0448089.4%
 
153210.6%
 
2020-11-30T18:54:29.800983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4634 
1
 
378
ValueCountFrequency (%) 
0463492.5%
 
13787.5%
 
2020-11-30T18:54:29.855949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4825 
1
 
187
ValueCountFrequency (%) 
0482596.3%
 
11873.7%
 
2020-11-30T18:54:29.911917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

weight
Real number (ℝ≥0)

Distinct101
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.38550144
Minimum34
Maximum157
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:30.037865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile52
Q165
median75
Q385
95-th percentile102
Maximum157
Range123
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.07726967
Coefficient of variation (CV)0.2000022469
Kurtosis0.6168675447
Mean75.38550144
Median Absolute Deviation (MAD)10
Skewness0.4644523016
Sum377832.1332
Variance227.3240607
MonotocityNot monotonic
2020-11-30T18:54:30.254722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
802835.6%
 
702745.5%
 
752194.4%
 
601653.3%
 
651593.2%
 
851523.0%
 
681462.9%
 
721392.8%
 
781362.7%
 
901282.6%
 
Other values (91)321164.1%
 
ValueCountFrequency (%) 
341< 0.1%
 
352< 0.1%
 
362< 0.1%
 
381< 0.1%
 
392< 0.1%
 
ValueCountFrequency (%) 
1571< 0.1%
 
1551< 0.1%
 
1401< 0.1%
 
1362< 0.1%
 
1331< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4753 
1
 
259
ValueCountFrequency (%) 
0475394.8%
 
12595.2%
 
2020-11-30T18:54:30.399657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4733 
1
 
279
ValueCountFrequency (%) 
0473394.4%
 
12795.6%
 
2020-11-30T18:54:30.454606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4780 
1
 
232
ValueCountFrequency (%) 
0478095.4%
 
12324.6%
 
2020-11-30T18:54:30.513595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4944 
1
 
68
ValueCountFrequency (%) 
0494498.6%
 
1681.4%
 
2020-11-30T18:54:30.569560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3766 
0
1246 
ValueCountFrequency (%) 
1376675.1%
 
0124624.9%
 
2020-11-30T18:54:30.626508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

creatinine
Real number (ℝ≥0)

Distinct285
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.9170262
Minimum35
Maximum999
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:30.771445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile58
Q175
median88
Q3106
95-th percentile168
Maximum999
Range964
Interquartile range (IQR)31

Descriptive statistics

Standard deviation68.43639964
Coefficient of variation (CV)0.6781452268
Kurtosis71.57601608
Mean100.9170262
Median Absolute Deviation (MAD)15
Skewness7.266763062
Sum505796.1355
Variance4683.540795
MonotocityNot monotonic
2020-11-30T18:54:30.981303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
851172.3%
 
881122.2%
 
801092.2%
 
761032.1%
 
821032.1%
 
781012.0%
 
77982.0%
 
75931.9%
 
86921.8%
 
83911.8%
 
Other values (275)399379.7%
 
ValueCountFrequency (%) 
3540.1%
 
372< 0.1%
 
381< 0.1%
 
392< 0.1%
 
401< 0.1%
 
ValueCountFrequency (%) 
99940.1%
 
9981< 0.1%
 
9901< 0.1%
 
9521< 0.1%
 
9491< 0.1%
 

number
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1266959298
Minimum0
Maximum5
Zeros4524
Zeros (%)90.3%
Memory size39.2 KiB
2020-11-30T18:54:31.145210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4290741041
Coefficient of variation (CV)3.38664474
Kurtosis20.62252195
Mean0.1266959298
Median Absolute Deviation (MAD)0
Skewness4.135016146
Sum635
Variance0.1841045868
MonotocityNot monotonic
2020-11-30T18:54:31.283131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
0452490.3%
 
13737.4%
 
2871.7%
 
3250.5%
 
42< 0.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
0452490.3%
 
13737.4%
 
2871.7%
 
3250.5%
 
42< 0.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
42< 0.1%
 
3250.5%
 
2871.7%
 
13737.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4871 
1
 
141
ValueCountFrequency (%) 
0487197.2%
 
11412.8%
 
2020-11-30T18:54:31.382074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_False
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4524 
0
488 
ValueCountFrequency (%) 
1452490.3%
 
04889.7%
 
2020-11-30T18:54:31.438041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lvef
Real number (ℝ≥0)

Distinct72
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.82647087
Minimum10
Maximum89
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:31.566990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile35
Q150
median60
Q366
95-th percentile75
Maximum89
Range79
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.93577847
Coefficient of variation (CV)0.2064068288
Kurtosis0.5227325304
Mean57.82647087
Median Absolute Deviation (MAD)7
Skewness-0.6856468847
Sum289826.272
Variance142.4628078
MonotocityNot monotonic
2020-11-30T18:54:31.773870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60100920.1%
 
554939.8%
 
704529.0%
 
504298.6%
 
653066.1%
 
452484.9%
 
401783.6%
 
351122.2%
 
301022.0%
 
67871.7%
 
Other values (62)159631.8%
 
ValueCountFrequency (%) 
101< 0.1%
 
151< 0.1%
 
171< 0.1%
 
20310.6%
 
2230.1%
 
ValueCountFrequency (%) 
891< 0.1%
 
882< 0.1%
 
871< 0.1%
 
8630.1%
 
8550.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4990 
1
 
22
ValueCountFrequency (%) 
0499099.6%
 
1220.4%
 
2020-11-30T18:54:31.918766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4672 
1
 
340
ValueCountFrequency (%) 
0467293.2%
 
13406.8%
 
2020-11-30T18:54:31.976733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4990 
1
 
22
ValueCountFrequency (%) 
0499099.6%
 
1220.4%
 
2020-11-30T18:54:32.035700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5007 
1
 
5
ValueCountFrequency (%) 
0500799.9%
 
150.1%
 
2020-11-30T18:54:32.095665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4929 
1
 
83
ValueCountFrequency (%) 
0492998.3%
 
1831.7%
 
2020-11-30T18:54:32.150634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

aa
Real number (ℝ≥0)

Distinct34
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.360335196
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:32.263569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median7
Q316
95-th percentile25
Maximum35
Range34
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.597698646
Coefficient of variation (CV)0.9185246539
Kurtosis-0.8309492788
Mean9.360335196
Median Absolute Deviation (MAD)6
Skewness0.6465426
Sum46914
Variance73.920422
MonotocityNot monotonic
2020-11-30T18:54:32.446466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
1174234.8%
 
41643.3%
 
171553.1%
 
81543.1%
 
121493.0%
 
101422.8%
 
91412.8%
 
181412.8%
 
151382.8%
 
51362.7%
 
Other values (24)195038.9%
 
ValueCountFrequency (%) 
1174234.8%
 
21272.5%
 
31342.7%
 
41643.3%
 
51362.7%
 
ValueCountFrequency (%) 
351< 0.1%
 
3330.1%
 
3280.2%
 
31130.3%
 
30180.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4403 
1
609 
ValueCountFrequency (%) 
0440387.8%
 
160912.2%
 
2020-11-30T18:54:32.578408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4957 
0
 
55
ValueCountFrequency (%) 
1495798.9%
 
0551.1%
 
2020-11-30T18:54:32.634357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4711 
0
 
301
ValueCountFrequency (%) 
1471194.0%
 
03016.0%
 
2020-11-30T18:54:32.689344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4295 
1
717 
ValueCountFrequency (%) 
0429585.7%
 
171714.3%
 
2020-11-30T18:54:32.749311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3128 
1
1884 
ValueCountFrequency (%) 
0312862.4%
 
1188437.6%
 
2020-11-30T18:54:32.804279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3831 
1
1181 
ValueCountFrequency (%) 
0383176.4%
 
1118123.6%
 
2020-11-30T18:54:32.864247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3518 
1
1494 
ValueCountFrequency (%) 
0351870.2%
 
1149429.8%
 
2020-11-30T18:54:32.922192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4952 
1
 
60
ValueCountFrequency (%) 
0495298.8%
 
1601.2%
 
2020-11-30T18:54:32.980178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4928 
1
 
84
ValueCountFrequency (%) 
0492898.3%
 
1841.7%
 
2020-11-30T18:54:33.034128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4963 
1
 
49
ValueCountFrequency (%) 
0496399.0%
 
1491.0%
 
2020-11-30T18:54:33.093117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4558 
1
 
454
ValueCountFrequency (%) 
0455890.9%
 
14549.1%
 
2020-11-30T18:54:33.149081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4856 
1
 
156
ValueCountFrequency (%) 
0485696.9%
 
11563.1%
 
2020-11-30T18:54:33.203031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4501 
1
511 
ValueCountFrequency (%) 
0450189.8%
 
151110.2%
 
2020-11-30T18:54:33.261017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3808 
1
1204 
ValueCountFrequency (%) 
0380876.0%
 
1120424.0%
 
2020-11-30T18:54:33.315985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4960 
1
 
52
ValueCountFrequency (%) 
0496099.0%
 
1521.0%
 
2020-11-30T18:54:33.376930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
3074 
0
1938 
ValueCountFrequency (%) 
1307461.3%
 
0193838.7%
 
2020-11-30T18:54:33.431919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4622 
0
 
390
ValueCountFrequency (%) 
1462292.2%
 
03907.8%
 
2020-11-30T18:54:33.487887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4998 
1
 
14
ValueCountFrequency (%) 
0499899.7%
 
1140.3%
 
2020-11-30T18:54:33.552829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

redo_a_yes
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5006 
1
 
6
ValueCountFrequency (%) 
0500699.9%
 
160.1%
 
2020-11-30T18:54:33.609800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4980 
1
 
32
ValueCountFrequency (%) 
0498099.4%
 
1320.6%
 
2020-11-30T18:54:33.665785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5010 
1
 
2
ValueCountFrequency (%) 
05010> 99.9%
 
12< 0.1%
 
2020-11-30T18:54:33.729730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4607 
0
 
405
ValueCountFrequency (%) 
1460791.9%
 
04058.1%
 
2020-11-30T18:54:33.784721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4853 
1
 
159
ValueCountFrequency (%) 
0485396.8%
 
11593.2%
 
2020-11-30T18:54:33.838686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4983 
1
 
29
ValueCountFrequency (%) 
0498399.4%
 
1290.6%
 
2020-11-30T18:54:33.895633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
2519 
1
2493 
ValueCountFrequency (%) 
0251950.3%
 
1249349.7%
 
2020-11-30T18:54:33.950601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5003 
1
 
9
ValueCountFrequency (%) 
0500399.8%
 
190.2%
 
2020-11-30T18:54:34.007572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lv2_False
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
1
4213 
0
799 
ValueCountFrequency (%) 
1421384.1%
 
079915.9%
 
2020-11-30T18:54:34.063557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4534 
1
478 
ValueCountFrequency (%) 
0453490.5%
 
14789.5%
 
2020-11-30T18:54:34.119507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4161 
1
851 
ValueCountFrequency (%) 
0416183.0%
 
185117.0%
 
2020-11-30T18:54:34.176474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
3231 
1
1781 
ValueCountFrequency (%) 
0323164.5%
 
1178135.5%
 
2020-11-30T18:54:34.231440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

agepat
Real number (ℝ≥0)

Distinct75
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.53232243
Minimum18
Maximum93
Zeros0
Zeros (%)0.0%
Memory size39.2 KiB
2020-11-30T18:54:34.360366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile36
Q155
median65
Q374
95-th percentile83
Maximum93
Range75
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.09799614
Coefficient of variation (CV)0.2219027355
Kurtosis0.1757784335
Mean63.53232243
Median Absolute Deviation (MAD)10
Skewness-0.6622371374
Sum318424
Variance198.7534951
MonotocityNot monotonic
2020-11-30T18:54:34.568247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
621643.3%
 
751553.1%
 
661543.1%
 
701493.0%
 
681422.8%
 
761412.8%
 
671412.8%
 
731382.8%
 
631362.7%
 
591352.7%
 
Other values (65)355771.0%
 
ValueCountFrequency (%) 
1840.1%
 
1960.1%
 
2070.1%
 
2160.1%
 
22120.2%
 
ValueCountFrequency (%) 
931< 0.1%
 
9130.1%
 
9080.2%
 
89130.3%
 
88180.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4314 
1
698 
ValueCountFrequency (%) 
0431486.1%
 
169813.9%
 
2020-11-30T18:54:34.725159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

cabg_True
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
2591 
1
2421 
ValueCountFrequency (%) 
0259151.7%
 
1242148.3%
 
2020-11-30T18:54:34.781145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

lv1_True
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4914 
1
 
98
ValueCountFrequency (%) 
0491498.0%
 
1982.0%
 
2020-11-30T18:54:34.837097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
4919 
1
 
93
ValueCountFrequency (%) 
0491998.1%
 
1931.9%
 
2020-11-30T18:54:34.894061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
5009 
1
 
3
ValueCountFrequency (%) 
0500999.9%
 
130.1%
 
2020-11-30T18:54:34.949029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Interactions

2020-11-30T18:53:39.031037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:39.363845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:39.618701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:39.857560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:40.132402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:40.397251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:40.669098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:40.904963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:41.086856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:41.267752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:41.438675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:41.815440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:41.997335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:42.180232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:42.366127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:42.548038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:42.730913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:42.915807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:43.096705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:43.270624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:43.465492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:43.646408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:43.831285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:44.009200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:44.180086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:44.346007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:44.518909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:44.689791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:44.864692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:45.041588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:45.202498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:45.381393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:45.563312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:45.741187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:45.926102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:46.117993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:46.298888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:46.482782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:46.676672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:46.862565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:47.048458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:47.230335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:47.421226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:47.606141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:47.792012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:47.966913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:48.154804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:48.332701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:48.515599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:48.699491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:49.056289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:49.237186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:49.410103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:49.602998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:49.789866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:49.968766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:50.144665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:50.331557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:50.505455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:50.682357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:50.873266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:51.051144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:51.228062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:51.407959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:51.588855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:51.769732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:51.977612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:52.257451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:52.495316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:52.784149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:52.953073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:53.119977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:53.284864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:53.453766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:53.608700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:53.790593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:54.239395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:54.540226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:54.767093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:54.950990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:55.223833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:55.505669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:55.915717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:56.099609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:56.270531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:56.524379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:56.743793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:56.917694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:57.088613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:57.273507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:57.466377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:57.645275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:57.836164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:58.021078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:58.205973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:58.394844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:58.571743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:58.769649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:59.168420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:59.360293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:59.534192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:59.722106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:53:59.898982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:00.092874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:00.266770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:00.446667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:00.616571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:00.795490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:00.978383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:01.158263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:01.336157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:01.512056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:01.694953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:01.867873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:02.056750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:02.235663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:02.416558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:02.595435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:02.767357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:02.959248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:03.139124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-11-30T18:54:35.464753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-30T18:54:41.826088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-30T18:54:48.457344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-30T18:54:55.300440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-11-30T18:54:04.421390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-30T18:54:17.771907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

ascendingaortasurgery_ascending_aorta_plus_aortic_valve_repairulcer_Trueascendingaortasurgery_ascending_plus_aortic__valveclearancecardiac_rhythm_fa_ou_tsvetiology_inflammatoryothers_dot_1_noothers_dot_1_congenitalnyhaclass_2previousembolicevent_visceralextracardiac_arteriopathy_lower_limbsredo_a_autreneoplasia_no_metatstasisaortic_nodyslipidemia_Falsebmiextracardiac_arteriopathy_previous_vascular_surgeryaortic_homograftprevious_cardiac_surgery_valvularetiology_otherscopd_untreadedascendingaortasurgery_bentall_biomi_Falseprevious_stroke_nonyhaclass_3cirrhosis_noascendingaortasurgery_ascending_aorta_less_valve_repaircopd_noetiology_endocarditispapsystlvefisotopicacs_different___less_than__7_drecentmi_a_Trueprevious_cardiac_surgery_combinedactiveendocarditis_Trueheightredo_a_prosthetic_valve_thrombosisascendingaortasurgery_bentall_bio_plus_plastpolyvalvulopathy_Trueneoplasia_metatstasismitral_nosmoker_currentsmoker_noothers_nocirrhosis_phtextracardiac_arteriopathy_carotid__larger_than_50_percent_angorclasseccs_3singlevalvulopathy_aoisinglevalvulopathy_org_mracs_different___less_than__90_dascendingaorta_dissectioncongenitalheartdisease_Falseneurologic_dysfunction_Falsesurg_2ascendingaorta_aneurysmarterial_hypertension_Falsetriscupid_bioprosthesisothers_pericarditisprevious_stroke_tiaascendingaortasurgery_ascending_aorta_less_cabgsinglevalvulopathy_noangorclasseccs_0ascendingaortasurgery_ascending_aortaaortic_autogreffeetiology_congenitalprevious_stroke_hemorragic_strokeredo_a_notriscupid_noweightofproc_single_non_cabgcoronary_artery_disease_non_stemiothers_transplantationprevious_cardiac_failure_Falseothers_dot_1_tumorsmoker_unknownprevious_stroke_ischemic_strokecoronary_artery_disease_stable_anginaascendingaortasurgery_bentall_mecsinglevalvulopathy_fctl_mrangorclasseccs_1genderpat_a_Falseweightofproc_2_procedurescriticalpreoperativestate_a_Truediabetesoninsulin_Falseothers_dot_1_pofprevious_cardiac_surgery_othersothers_dot_1_myomectomynyhaclass_1etiology_degenerative_or_dystrophiccardiacfailure_Truecoronary_artery_disease_stemimitral_bioprosthesispreviousembolicevent_strokeweightsinglevalvulopathy_mitral_stenosisurgency_Truepulmonaryhypertension_Truepreviousembolicevent_peripheraldiabetes__status_nocreatininenumberothers_dot_1_othersredo_Falselvefredo_a_cabgmitral_valve_repairsinglevalvulopathy_tricuspidtriscupid_homograftredo_a_bioproth_dot__failureaapreviousangioplasty_Trueon_dialysis_Falsepreviousembolicevent_noangorclasseccs_2weightofproc_isolated_cabgaortic_bioprosthesisnyhaclass_4others_othersredo_a_mitral_valve_repair_failureprevious_cardiac_surgery_cabgweightofproc_3_proceduresprevious_endocarditis_Truetricuspid_Truesinglevalvulopathy_ao_stenosisredo_a_endocarditiscoronary_artery_disease_noascendingaorta_nopreviousembolicevent_thrombosisredo_a_yesascendingaortasurgery_ascending_and_archascendingaortasurgery_ascending_aorta__plus_mitral_valveneoplasia_norenalimpairment_Truecirrhosis_uncomplicatedetiology_noaortic_valve_repairlv2_Falsemitral_mechanicaldiabetes__status_oral_therapysmoker_pastagepataortic_mechanicalcabg_Truelv1_Truepreviousradiotherapy_Trueothers_dissection_type_b
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Last rows

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